New preprint on location-to-channel mapping

A new preprint entitled Model-based learning for multi-antenna multi-frequency location-to-channel mapping just appeared on arXiv. It shows that a physically-inspired neural network can faithfully reconstruct channel responses in a given environment with a reasonable number of learnable weights.